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Dániel T. R. Nagy
Dániel T. R. Nagy
Wigner Research Centre for Physics
Verified email at wigner.hu
Title
Cited by
Cited by
Year
Photonic quantum policy learning in openai gym
D Nagy, Z Tabi, P Hága, Z Kallus, Z Zimborás
2021 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2021
122021
HIJING++, a Heavy Ion Jet INteraction Generator for the High-luminosity Era of the LHC and Beyond
G Bíró, G Papp, GG Barnaföldi, D Nagy, M Gyulassy, P Lévai, XN Wang, ...
Proceedings 10 (1), 4, 2019
122019
Piquasso: A photonic quantum computer simulation software platform
Z Kolarovszki, T Rybotycki, P Rakyta, Á Kaposi, B Poór, S Jóczik, ...
arXiv preprint arXiv:2403.04006, 2024
72024
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication
Z Tabi, B Bako, DTR Nagy, P Vaderna, Z Kallus, P Haga, Z Zimboras
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 468-473, 2022
72022
Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication
ZI Tabi, B Bakó, DTR Nagy, P Vaderna, Z Kallus, P Hága, Z Zimborás
arXiv preprint arXiv:2405.18105, 2024
12024
Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces
DTR Nagy, C Czabán, B Bakó, P Hága, Z Kallus, Z Zimborás
arXiv preprint arXiv:2410.18284, 2024
2024
On the learning abilities of photonic continuous-variable Born machines
Z Kolarovszki, DTR Nagy, Z Zimborás
2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024
2024
Problem-informed Graphical Quantum Generative Learning
B Bakó, DTR Nagy, P Hága, Z Kallus, Z Zimborás
arXiv preprint arXiv:2405.14072, 2024
2024
Space-Efficient Embedding of the Clique Cover Problem for Quantum Optimization
B Bakó, DTR Nagy, P Hága, Z Kallus, Z Zimborás
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
2023
Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces Dániel TR Nagy1, 2, 3, Csaba Czabán1, 3, Bence Bakó1, 2, 3, Péter Hága3, Zsófia Kallus3 and Zoltán …
DTR Nagy, C Czabán, B Bakó
Introduction to photonic quantum machine learning
D Nagy
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